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NEW QUESTION: 1
A network administrator is configuring one distribution and five access switches, which will be installed in a
new building.
Which of the following is the BEST physical location for the equipment?
A. The distribution switch in the IDF and the access switches in the MDF
B. The distribution switch in the MDF and the access switches in the IDF
C. All switches should be placed in the IDF to leave room in the MDF for servers
D. All switches should be placed in the MDF to leave room in the IDF for servers
Answer: B
NEW QUESTION: 2
01 public enum Compass 02 {
03
North,
04
South,
05
East,
06
West
07 }
08 [DataContract]
09 public class Location
10 {
11 [DataMember]
12 public string Label { get; set; }
13 [DataMember]
14 public Compass Direction { get; set; }
15 }
16 void DoWork()
17 {
18 var location = new Location { Label = "Test", Direction = Compass.West};
19 Console.Writeline(WriteObject(location,
20
21 )); 22 }
A. new NetDataContractSenalizer()
B. new XmlSerializer(typeof(Location))
C. new DataContractSerializer(typeof(Location))
D. new DataContractJsonSerializer(typeof(Location))
Answer: D
Explanation:
DataContractJsonSerializer - Serializes objects to the JavaScript Object Notation (JSON) and deserializes JSON data to objects. This class cannot be inherited. http://msdn.microsoft.com/en-us/library/ system.runtime.serialization.json.datacontractjsonserializer.aspx
NEW QUESTION: 3
You have an app that uses the Language Understanding (LUIS) API as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: train
Utterances are input from the user that your app needs to interpret. To train LUIS to extract intents and entities from them, it's important to capture a variety of different example utterances for each intent. Active learning, or the process of continuing to train on new utterances, is essential to machine-learned intelligence that LUIS provides.
Box 2: creating intents
Each intent needs to have example utterances, at least 15. If you have an intent that does not have any example utterances, you will not be able to train LUIS. If you have an intent with one or very few example utterances, LUIS will not accurately predict the intent.
Box 3: never published
In each iteration of the model, do not add a large quantity of utterances. Add utterances in quantities of 15.
Train, publish, and test again.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-utteran3ce